Wind turbine tower optimization method using a genetic algorithm

研究成果: ジャーナルへの寄稿記事

32 引用 (Scopus)

抄録

A wind turbine tower optimization program was developed, using a genetic algorithm. This allowed a rational analysis to reduce the mass of turbine towers, by considering, for example, the distributions of diameter and wall thickness, and the positions of flanges and access ports to navigation lights. Both extreme and fatigue loads were calculated, based on wind turbine design requirements and the Building Standard Law of Japan. Therefore, the aero-elastic characteristics and the controller of each turbine were considered. Furthermore, sensitivities to some representative design parameters were also investigated in case studies of the SUBARU80/20, 2 MW turbine.

元の言語英語
ページ(範囲)453-470
ページ数18
ジャーナルWind Engineering
30
発行部数6
DOI
出版物ステータス出版済み - 12 1 2006
外部発表Yes

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Wind turbines
Towers
Turbines
Genetic algorithms
Flanges
Navigation
Fatigue of materials
Controllers

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Renewable Energy, Sustainability and the Environment

これを引用

Wind turbine tower optimization method using a genetic algorithm. / Yoshida, Shigeo.

:: Wind Engineering, 巻 30, 番号 6, 01.12.2006, p. 453-470.

研究成果: ジャーナルへの寄稿記事

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